few tasks on machine learning using python and jupyter notebook, [Scipy(pareto) and Suppot vector Regression)]

1) I attached a ipynb file with some scratch work and a csv data set. 2) You have to obtain the extreme values using pareto fit (values above 95 th percentile). 3) Now you have 2 data frames (Values below 95 th percentile and above 95 th percentile) 4) You have to fit a SVR model for the both data sets. compute the R squared and RMSE values. The features and values need to be used for the model are also described in that ipynb file. 5) I am attaching a python source file just for reference, If useful.